1	Course Title:	INTRODUCTION TO COMPUTER PROGRAMMING
2	Course Code:	BMB1002
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	2
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Dr. Ögr. Üyesi HAKAN TACETTİN TÜRKER
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	hakantturker@uludag.edu.tr
18	Website:	http://insaat.uludag.edu.tr
19	Objective of the Course:	The objective of this course is to provide the ability of algorithm creation and the basics of programming concepts by using Python programming language and enable students to gain experience in laboratory environment.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 Understanding of computer logic; 2 Gain skills in algorithm development for given problems using basic rules; 3 Ability of use basic commands of Python; 4 Code creation for engineering problems by using Python programing language; 5 To be capable of analyze and generation a code about engineering problem in laboratory. ;

22	Course Content:

Week	Theoretical	Practical
1	Computer and programing Logic	Laboratory Application
2	Development of Algorithm and basic rules	Laboratory Application
3	Python Basics: Running Python, Python Comments, Data Types, Variables, Writing a Python Module print() Function	Laboratory Application
4	Expressions and Arithmetic	Laboratory Application
5	Conditional Statements - Boolean expressions - If/Else statement - Other Conditional Expressions	Laboratory Application
6	Iteration - Loops, for, while	Laboratory Application
7	Iteration - Loops, for, while	Laboratory Application
8	Using Functions	Laboratory Application
9	Writing Functions -1	Laboratory Application
10	Writing Functions -1	Laboratory Application
11	Lists, Tuples - Using Lists	Laboratory Application
12	Lists, Tuples - Using Lists - Building Lists	Laboratory Application
13	Dictionaries	Laboratory Application
14	Graphic processing	Laboratory Application

23	Textbooks, References and/or Other Materials:	-Mustafa Başer, Python, dikeyeksen, 2015. -Fırat Özdil, Her Yönüyle Python, Kodlab, 2016
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	14	2	28
Self Study and Preparation	14	7	98
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	10	10
Others	0	0	0
Final Exams	1	10	10
Total WorkLoad			174
Total workload/ 30 hr			5,8
ECTS Credit of the Course			6

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 4 3 4 2 3 3 4 2 0 0 0 0 LO2 3 5 5 3 4 3 4 4 0 0 0 0 LO3 3 4 2 4 4 4 3 5 0 0 0 0 LO4 3 3 3 2 4 5 5 2 0 0 0 0 LO5 4 5 5 5 2 4 3 3 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High